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An End-to-End Compression Framework Based on Convolutional Neural
  Networks

An End-to-End Compression Framework Based on Convolutional Neural Networks

2 August 2017
F. Jiang
Wen Tao
Shaohui Liu
Jie Ren
Xun Guo
Debin Zhao
    3DV
ArXivPDFHTML

Papers citing "An End-to-End Compression Framework Based on Convolutional Neural Networks"

7 / 7 papers shown
Title
End-to-end Transformer for Compressed Video Quality Enhancement
End-to-end Transformer for Compressed Video Quality Enhancement
Li Yu
Wenshuai Chang
Shiyu Wu
M. Gabbouj
ViT
19
8
0
25 Oct 2022
Deep learning-based Edge-aware pre and post-processing methods for JPEG
  compressed images
Deep learning-based Edge-aware pre and post-processing methods for JPEG compressed images
Dipti Mishra
S. Singh
R. Singh
18
1
0
11 Apr 2021
Advances in Electron Microscopy with Deep Learning
Advances in Electron Microscopy with Deep Learning
Jeffrey M. Ede
27
2
0
04 Jan 2021
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
22
79
0
17 Sep 2020
Learned Neural Iterative Decoding for Lossy Image Compression Systems
Learned Neural Iterative Decoding for Lossy Image Compression Systems
Alexander Ororbia
A. Mali
Jian Wu
Scott O'Connell
David J. Miller
C. Lee Giles
11
27
0
15 Mar 2018
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
225
2,543
0
25 Jan 2016
MatConvNet - Convolutional Neural Networks for MATLAB
MatConvNet - Convolutional Neural Networks for MATLAB
Andrea Vedaldi
Karel Lenc
183
2,947
0
15 Dec 2014
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